Tian Li
25 papers · 2020–2025 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (46) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π Grand Slam
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Grand Slam
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Triple Crown
ποΈ
Keyword Collector
(100)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
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Conference Pioneer
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Renaissance Researcher
(8)
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Trend Setter
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(21)
Application Areas
(13)
Artificial Intelligence
(11)
Learning Types Β· Machine Learning
(10)
Optimization & Theory
(9)
Deep Learning
(7)
Learning Paradigms
(7)
Core AI
(4)
Mathematics & Optimization
(3)
Learning Types Β· Deep Learning
(3)
Optimization
(3)
Natural Language Processing
(2)
Applications
(2)
Architectures
(2)
Core Methods
(2)
Keywords
federated learning
(7)
adaptive optimization
(3)
tilted empirical risk minimization
(2)
class imbalance
(2)
multi-task learning
(2)
differential privacy
(2)
contrastive learning
(2)
large language model
(2)
stochastic gradient descent
(1)
scalable learning
(1)
reinforcement learning
(1)
k-means clustering
(1)
hyperparameter optimization
(1)
optimal transport
(1)
text classification
(1)
neural architecture search
(1)
domain adaptation
(1)
multi-label classification
(1)
sentiment classification
(1)
data augmentation
(1)
Papers
AI-Powered Algorithm-Centric Quantum Processor Topology Design
AAAI 2025
Chinchunmei at SemEval-2025 Task 11: Boosting the Large Language Modelβs Capability of Emotion Perception using Contrastive Learning
SemEval 2025
Efficient Distributed Optimization under Heavy-Tailed Noise
ICML 2025
Generalization and Robustness of the Tilted Empirical Risk
ICML 2025
iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss
SemEval 2025
Many-Objective Multi-Solution Transport
ICLR 2025
Scalable and Trustworthy Learning in Heterogeneous Networks
AAAI 2025
SCD-Conformer: Semantic Content Disentanglement for Text-Independent Speaker Verification
Interspeech 2025
Tilted Sharpness-Aware Minimization
ICML 2025
Chinchunmei at WASSA 2024 Empathy and Personality Shared Task: Boosting LLMβs Prediction with Role-play Augmentation and Contrastive Reasoning Calibration
ACL 2024
Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features
MICCAI 2024
DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models
NAACL 2024
hyy33 at WASSA 2024 Empathy and Personality Shared Task: Using the CombinedLoss and FGM for Enhancing BERT-based Models in Emotion and Empathy Prediction from Conversation Turns
ACL 2024
Physical-priors-guided Aortic Dissection Detection using Non-Contrast-Enhanced CT images
MICCAI 2024
Differentially Private Adaptive Optimization with Delayed Preconditioners
ICLR 2023
On Tilted Losses in Machine Learning: Theory and Applications
JMLR 2023
Diverse Client Selection for Federated Learning via Submodular Maximization
ICLR 2022
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data
IJCAI 2022
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map
ECCV 2022
Private Adaptive Optimization with Side information
ICML 2022
Ditto: Fair and Robust Federated Learning Through Personalization
ICML 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
NeurIPS 2021
Heterogeneity for the Win: One-Shot Federated Clustering
ICML 2021
Tilted Empirical Risk Minimization
ICLR 2021
Fair Resource Allocation in Federated Learning
ICLR 2020